Title |
Negative Associations between Corpus Callosum Midsagittal Area and IQ in a Representative Sample of Healthy Children and Adolescents
|
---|---|
Published in |
PLOS ONE, May 2011
|
DOI | 10.1371/journal.pone.0019698 |
Pubmed ID | |
Authors |
Hooman Ganjavi, John D. Lewis, Pierre Bellec, Penny A. MacDonald, Deborah P. Waber, Alan C. Evans, Sherif Karama |
Abstract |
Documented associations between corpus callosum size and cognitive ability have heretofore been inconsistent potentially owing to differences in sample characteristics, differing methodologies in measuring CC size, or the use of absolute versus relative measures. We investigated the relationship between CC size and intelligence quotient (IQ) in the NIH MRI Study of Normal Brain Development sample, a large cohort of healthy children and adolescents (aged six to 18, n = 198) recruited to be representative of the US population. CC midsagittal area was measured using an automated system that partitioned the CC into 25 subregions. IQ was measured using the Wechsler Abbreviated Scale of Intelligence (WASI). After correcting for total brain volume and age, a significant negative correlation was found between total CC midsagittal area and IQ (r = -0.147; p = 0.040). Post hoc analyses revealed a significant negative correlation in children (age<12) (r = -0.279; p = 0.004) but not in adolescents (age≥12) (r = -0.005; p = 0.962). Partitioning the subjects by gender revealed a negative correlation in males (r = -0.231; p = 0.034) but not in females (r = 0.083; p = 0.389). Results suggest that the association between CC and intelligence is mostly driven by male children. In children, a significant gender difference was observed for FSIQ and PIQ, and in males, a significant age-group difference was observed for FSIQ and PIQ. These findings suggest that the correlation between CC midsagittal area and IQ may be related to age and gender. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 72 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 14% |
Student > Ph. D. Student | 9 | 12% |
Researcher | 8 | 11% |
Student > Postgraduate | 7 | 9% |
Student > Bachelor | 6 | 8% |
Other | 22 | 30% |
Unknown | 12 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 18 | 24% |
Psychology | 14 | 19% |
Agricultural and Biological Sciences | 9 | 12% |
Neuroscience | 8 | 11% |
Engineering | 3 | 4% |
Other | 9 | 12% |
Unknown | 13 | 18% |